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Deriving Leafless Trees and Urban Structures from the DLR 3K Airborne Camera System for the City of Braunschweig

Krauß, Thomas (2019) Deriving Leafless Trees and Urban Structures from the DLR 3K Airborne Camera System for the City of Braunschweig. SPIE. RSCy2019, 18.-21. Mar. 2019, Paphos, Cyprus. DOI: 10.1117/12.2534440

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Official URL: https://doi.org/10.1117/12.2534440

Abstract

In this work we present a method for detecting leafless trees in digital elevation models derived from high resolution aerial imagery. No spectral classification as usually conducted is needed for our approach. This makes the method applicable for stereo imagery using only panchromatic or RGB imagery or even acquisitions in early spring showing trees without foliage. The method is based on statistics of densely calculated aspect and slope angles in the DSM. Using a segmentation based on the watershed transformation gives areas large enough for reasonable statistics but also limited to individual tree or building objects. Removing the detected trees from the DSM allows the calculation of a building mask which can in turn be used for the urban modeling of buildings. The detected trees will be modeled in parallel and the models joined together afterwards. The development of the method and the evaluation is based on images acquired with the 3K camera system developed by DLR in early spring 2015 over the german city of Braunschweig. After description of the algorithm the selection of the main classification parameter is shown together with a manual quality assessment.

Item URL in elib:https://elib.dlr.de/128702/
Document Type:Conference or Workshop Item (Speech)
Title:Deriving Leafless Trees and Urban Structures from the DLR 3K Airborne Camera System for the City of Braunschweig
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Krauß, ThomasThomas.Krauss (at) dlr.dehttps://orcid.org/0000-0001-6004-1435
Date:21 March 2019
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:11174
DOI :10.1117/12.2534440
Page Range:pp. 1-8
Publisher:SPIE
Status:Published
Keywords:3K-Camera, RGB Data, Leafless Trees, Digital Elevation Models, Automatic Preprocessing, Urban Objects
Event Title:RSCy2019
Event Location:Paphos, Cyprus
Event Type:international Conference
Event Dates:18.-21. Mar. 2019
Organizer:Cyprus Remote Sensing Society
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Road Transport
DLR - Research area:Transport
DLR - Program:V ST Straßenverkehr
DLR - Research theme (Project):V - NGC KoFiF
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Krauß, Thomas
Deposited On:13 Aug 2019 10:17
Last Modified:19 Aug 2019 13:06

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